People.ai Expands Revenue Intelligence With MCP AI Integration

As enterprises increasingly embed artificial intelligence into sales operations, the People.ai Model Context Protocol integration aims to solve a critical challenge facing revenue teams: ensuring AI systems operate on complete and accurate business data.

People.ai announced a Model Context Protocol integration for its SalesAI Platform, enabling organizations to access full revenue intelligence directly within existing AI workflows. The People.ai Model Context Protocol integration allows revenue teams to connect AI assistants such as Claude, Microsoft Copilot, ChatGPT, and custom agents to People.ai’s unified data layer through its Answer Platform.

The announcement addresses a growing industry concern that AI effectiveness depends heavily on data quality. As organizations adopt AI agents for forecasting pipelines, identifying risks, and prioritizing opportunities, incomplete or inaccurate CRM information has become a major barrier. Industry research indicates that a significant portion of CRM data remains inaccurate, limiting the reliability of AI driven insights.

People.ai’s platform combines structured CRM records with unstructured engagement data, including emails, meetings, conversations, and communication patterns. By integrating both data types, the system provides AI tools with a more complete understanding of customer relationships and deal dynamics across the revenue lifecycle.

“At Red Hat, we’ve always believed in the power of open source and have remained firmly committed to innovating in the open. We are currently orchestrating a company-wide shift to become an AI-enabled enterprise, channeling our open source culture to better capture and share the specialized knowledge of our teams,” said Andrew Brown, Senior Vice President and Chief Revenue Officer at Red Hat. “People.ai’s open architecture and use of the Model Context Protocol (MCP) fits perfectly with this vision, moving us beyond isolated point solutions toward a truly composable AI infrastructure and helping our sales teams improve win rates by more than 50 percent.”

Through automated data collection, the Answer Platform aggregates revenue activity across emails, chats, meetings, LinkedIn interactions, and call transcripts alongside structured information such as opportunity stages and account values. Patented matching technology connects these signals to the appropriate CRM entities while natural language processing filters sensitive content and preserves business context.

“Without both structured and unstructured data working together, AI provides answers that are disconnected from reality. Revenue teams don’t need more dashboards to check. They need complete answers they can trust at the moment business decisions are made,” said Jason Ambrose, CEO at People.ai. “Our Answer Platform eliminates friction for our customers by bringing the most comprehensive and accurate activity intelligence to wherever revenue teams already work, whether that’s Claude, Copilot, Slack and/or custom internal agents.”

The People.ai Model Context Protocol integration enables teams to ask revenue questions directly within their preferred AI tools without switching platforms, improving accessibility and decision speed. By delivering comprehensive activity intelligence instead of isolated data points, the system helps identify stalled deals, evaluate buyer influence, and recommend next actions based on real engagement signals.

The launch reflects a broader shift toward composable AI ecosystems where enterprise platforms exchange contextual intelligence rather than static datasets. As agentic AI adoption accelerates across sales and marketing organizations, solutions that unify structured and unstructured data are becoming essential for delivering trustworthy insights and improving revenue performance at scale.